Declarative pipelines that turn open geospatial data into model-ready grids for DisSModel, with a spatial data catalog and raster derivation.
-
Updated
Nov 7, 2026 - Python
Declarative pipelines that turn open geospatial data into model-ready grids for DisSModel, with a spatial data catalog and raster derivation.
Study-area examples that build gridded variables from open data (MapBiomas, PRODES, Brazil Data Cube) on the BDC Albers mesh, with declarative DisSCube pipelines, run scripts and run records.
To associate your repository with the spatial-data-cubes topic, visit your repo's landing page and select "manage topics."